Architect, implement, and support efficient and scalable data pipelines using technologies such as AWS, Snowflake, and DBT

Create and oversee a centralized Real Estate data repository within the company’s data lake, acting as the authoritative source

Manage all stages of the data lifecycle, including acquisition, standardization, and governance of critical Real Estate and Legal contract information

Partner with data scientists to supply high-quality, consistent features for machine learning models, boosting the accuracy of new store forecasts

Enable automated data intake from platforms like Procore, LawVu, and Lucernix to streamline the shop opening workflow

Work with business partners to outline essential processes and pinpoint valuable automation opportunities

Guide the team’s shift from manual, time-consuming analysis to a future of automated model creation and reliable data pipelines

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

At least 5 years of hands-on experience in relevant roles

Minimum one year of experience leading and supervising development teams

Background in integrating systems using low code IPAAS solutions such as Workato

Demonstrated success as a Data Engineer in cloud environments, ideally AWS

Practical expertise with modern data stacks, including cloud data warehouses like Snowflake, transformation tools such as DBT, and integration platforms like Workato or similar

Advanced SQL skills and a history of building and maintaining resilient data pipelines

Proven ability to unify fragmented data from multiple sources into a single, reliable data foundation

Strong communication abilities and a track record of working effectively in cross-functional teams

Initiative and problem-solving skills to independently drive projects in a fast-paced setting

Proficiency in English, both written and spoken, at C1+ level or above

Experience collaborating with MLOps or Data Science teams, particularly in feature engineering and model scoring

Understanding of data related to Real Estate, legal agreements, or multi-location retail operations

Skills in Python for data integration tasks

Familiarity with Workato